Session A3: Unsupervised learning

13 Dec 2016
16:30-18:10
Auditorium

Session A3: Unsupervised learning

Session Chair: Vagelis Papalexakis (UC Riverside, USA)

REGULAR PAPERS:

DM336 “Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component Analysis”
Young Woong Park and Diego Klabjan

DM383 “Heterogeneous Representation Learning with Structured Sparsity Regularization”
Pei Yang and Jingrui He

DM389 “Triply Stochastic Variational Inference for Non-linear Beta Process Factor Analysis”
Kai Fan, Yizhe Zhang, and Katherine Heller

DM821 “Causal Inference by Compression”
Kailash Budhathoki and Jilles Vreeken

SHORT PAPERS:

DM332 “Factorizing Complex Discrete Data “with Finesse””
Samuel Maurus and Claudia Plant

DM337 “A Fast Factorization-based Approach to Robust Principal Component Analysis”
Chong Peng, Zhao Kang, and Qiang Cheng